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本文引用的文献

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Anthropogenic climate change has altered primary productivity in Lake Superior.人为气候变化改变了苏必利尔湖的初级生产力。
Nat Commun. 2017 Jun 9;8:15713. doi: 10.1038/ncomms15713.
2
Using Inverse Probability Bootstrap Sampling to Eliminate Sample Induced Bias in Model Based Analysis of Unequal Probability Samples.使用逆概率自助抽样法消除不等概率样本基于模型分析中的样本诱导偏差。
PLoS One. 2015 Jun 30;10(6):e0131765. doi: 10.1371/journal.pone.0131765. eCollection 2015.
3
Water quality and plankton in the United States nearshore waters of Lake Huron.休伦湖美国近岸海域的水质和浮游生物。
Environ Manage. 2012 Oct;50(4):664-78. doi: 10.1007/s00267-012-9902-x. Epub 2012 Jul 24.
4
Large nonlethal effects of an invasive invertebrate predator on zooplankton population growth rate.一种入侵性无脊椎动物捕食者对浮游动物种群增长率的巨大非致死性影响。
Ecology. 2007 Feb;88(2):402-12. doi: 10.1890/06-0768.

一种用于大型湖泊浮游动物监测的全湖方法:2006 - 2016年苏必利尔湖合作科学与监测倡议调查的结果。

A lake-wide approach for large lake zooplankton monitoring: Results from the 2006-2016 Lake Superior Cooperative Science and Monitoring Initiative surveys.

作者信息

Pawlowski Matthew B, Sierszen Michael E

机构信息

Oak Ridge Institute for Science and Education, Oak Ridge, TN.

USEPA Great Lakes Toxicology and Ecology Division, Duluth, MN.

出版信息

J Great Lakes Res. 2020 Aug 1;46(4):1015-1027. doi: 10.1016/j.jglr.2020.05.005.

DOI:10.1016/j.jglr.2020.05.005
PMID:33424102
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7787984/
Abstract

Whole-lake surveys of Lake Superior were completed during late summer in 2006, 2011, and 2016 to assess lower food web conditions under the Cooperative Science and Monitoring Initiative (CSMI). These surveys used a spatially stratified probability approach based on depth to assess food web conditions within different depth zones. We evaluated differences in crustacean zooplankton biomass, rotifer density, and the community structure of both groups in nearshore (<30 m), midshore (30-100 m), and offshore (>100 m) depth zones and investigated changes in these parameters within zones over time. Although nearshore crustacean biomasses and rotifer densities were highly variable, the depth zones differed from each other based on these parameters and should be considered separately. Crustacean biomass, community structure, and vertical position were consistent over time across depth zones. The differences that did occur were within the range of known annual variability. Total rotifer densities were lower in 2016 than in 2006 in all depth zones but the genera that contributed to the lower values were not the same across zones. Further studies are needed to know whether these differences reflect annual variability or long-term trends. Finally, we show how the depth zones used in this study can facilitate comparisons between monitoring programs. This is important because most zooplankton studies are limited to certain depth zones and changes in zooplankton parameters may not occur uniformly across zones. The high variability in nearshore zooplankton parameters suggests that additional research may be needed to effectively track changes there.

摘要

2006年、2011年和2016年夏末,对苏必利尔湖进行了全湖调查,以评估合作科学与监测倡议(CSMI)下的低营养级食物网状况。这些调查采用了基于深度的空间分层概率方法,以评估不同深度区内的食物网状况。我们评估了近岸(<30米)、中岸(30 - 100米)和离岸(>100米)深度区内甲壳类浮游动物生物量、轮虫密度以及这两类生物群落结构的差异,并调查了这些参数在各区域内随时间的变化。尽管近岸甲壳类生物量和轮虫密度变化很大,但基于这些参数,不同深度区存在差异,应分别考虑。甲壳类生物量、群落结构和垂直位置在不同深度区随时间保持一致。确实出现的差异在已知的年度变化范围内。2016年所有深度区的轮虫总密度均低于2006年,但导致密度降低的属在不同区域并不相同。需要进一步研究以确定这些差异是反映年度变化还是长期趋势。最后,我们展示了本研究中使用的深度区如何便于监测项目之间的比较。这很重要,因为大多数浮游动物研究仅限于特定深度区,浮游动物参数的变化可能不会在各区域均匀发生。近岸浮游动物参数的高变异性表明可能需要更多研究来有效跟踪那里的变化。